v1v2v3v4 (latest)

Neural Lyapunov and Optimal Control

24 May 2023

Daniel Layeghi

Steve Tonneau

M. Mistry

ArXiv (abs)PDF HTML

Papers citing "Neural Lyapunov and Optimal Control"

20 / 20 papers shown

Title
Neural Optimal Control using Learned System Dynamics Selim Engin Volkan Isler 80 3 0 20 Feb 2023
Neural ODEs as Feedback Policies for Nonlinear Optimal Control I. O. Sandoval Panagiotis Petsagkourakis Ehecatl Antonio del Rio Chanona 65 9 0 20 Oct 2022
BarrierNet: A Safety-Guaranteed Layer for Neural Networks Wei Xiao Ramin Hasani Xiao Li Daniela Rus 69 20 0 22 Nov 2021
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson Zengyi Qin Sicun Gao Chuchu Fan 146 176 0 14 Sep 2021
Value Iteration in Continuous Actions, States and Time M. Lutter Shie Mannor Jan Peters Dieter Fox Animesh Garg 41 36 0 10 May 2021
Faster Policy Learning with Continuous-Time Gradients Samuel K. Ainsworth Kendall Lowrey John Thickstun Zaïd Harchaoui S. Srinivasa 42 12 0 12 Dec 2020
DeepReach: A Deep Learning Approach to High-Dimensional Reachability Somil Bansal Claire Tomlin 93 156 0 04 Nov 2020
Model Hierarchy Predictive Control of Robotic Systems He Li Robert J. Frei Patrick M. Wensing 93 47 0 17 Oct 2020
Neural Lyapunov Control Ya-Chien Chang Nima Roohi Sicun Gao 71 308 0 01 May 2020
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty PINN 88 271 0 26 Sep 2019
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control Kendall Lowrey Aravind Rajeswaran Sham Kakade G. Haro Igor Mordatch OffRL 61 228 0 05 Nov 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 161 1,884 0 01 Aug 2018
A Tour of Reinforcement Learning: The View from Continuous Control Benjamin Recht 121 631 0 25 Jun 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 437 5,157 0 19 Jun 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,406 0 04 Jan 2018
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 125 1,963 0 19 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 541 19,265 0 20 Jul 2017
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving Grady Williams P. Drews Brian Goldfain James M. Rehg Evangelos A. Theodorou 155 268 0 07 Jul 2017
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 280 624 0 22 Sep 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,086 0 05 Jun 2016